Search Results for "what"

...Powerful filtering mode to allow user to drill down and view workload related resources. Supports for viewing RBAC rules such as cluster/roles and their associated bindings. Reverse lookup to asserts what a user/group or ServiceAccount can do on your clusters. You can benchmark your HTTP services/pods directly from K9s to see how your application fare and adjust your resources request/limit accordingly.

Kubernetes cluster visualizer and visual explorer. KubeView displays what is happening inside a Kubernetes cluster (or single namespace), it maps out the API objects and how they are interconnected. Data is fetched in real-time from the Kubernetes API. The status of some objects (Pods, ReplicaSets, Deployments) is color-coded red/green to represent their status and health. The app auto refreshes and dynamically updates the view as new data comes in or when it changes.

...Kubeconfig Authentication method does not support external identity providers or certificate-based authentication. Metrics-Server has to be running in the cluster for the metrics and graphs to be available. Make sure that you know what you are doing before proceeding. Granting admin privileges to Dashboard's Service Account might be a security risk. In most cases after provisioning cluster using kops, kubeadm or any other popular tool, the ClusterRole cluster-admin already exists in the cluster. We can use it and create only ClusterRoleBinding for our ServiceAccount. ...

Faiss is a library for efficient similarity search and clustering of dense vectors. It contains algorithms that search in sets of vectors of any size, up to ones that possibly do not fit in RAM. It also contains supporting code for evaluation and parameter tuning. Faiss is written in C++ with complete wrappers for Python/numpy. Some of the most useful algorithms are implemented on the GPU. It is developed by Facebook AI Research. Faiss contains several methods for similarity search. It...

Sealer[ˈsiːlər] provides a new way of distributed application delivery which reduces the difficulty and complexity by packaging the Kubernetes cluster and all application's dependencies into one ClusterImage. We can write a Kubefile to build the ClusterImage, and use it to deliver your applications with embedded Kubernetes through Clusterfile.

JPPF makes it easy to parallelize computationally intensive tasks and execute them on a Grid.

FMACJ is a parallelization framework for the .NET CLR that gives your applications multicore/cluster support by saying what should be parallelized via attributes. You do not have to think about threads and networks at all. FMACJ also runs on Mono.